Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …

As the intelligent manufacturing paradigm evolves, it is urgent to design a near real-time
decision-making framework for handling the uncertainty and complexity of production line …

Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Globally, e-commerce warehouses have begun implementing robotic mobile fulfillment
systems (RMFS), which can improve order-picking efficiency by using automated guided …

This paper critically examines model compression techniques within the machine learning
(ML) domain, emphasizing their role in enhancing model efficiency for deployment in …

This literature review examines the increasing use of artificial intelligence (AI) in
manufacturing systems, in line with the principles of Industry 4.0 and the growth of smart …

This study introduces a novel Demand Response (DR) Model based on Multi-agent
Reinforcement Learning (MARL-DR), comprised of a pricing and incentives scheme aimed …

In nowadays production, fluctuations in demand, shortening product life-cycles, and highly
configurable products require an adaptive and robust control approach to maintain …

In today's rapidly changing production landscape with increasingly complex manufacturing
processes and shortening product life cycles, a company's competitiveness depends on its …